Designing multi-label classifiers that maximize F measures: State of the art.
Ignazio PillaiGiorgio FumeraFabio RoliPublished in: Pattern Recognit. (2017)
Keyphrases
- multi label
- multi label classification
- class labels
- text categorization
- classifier training
- graph cuts
- image classification
- image annotation
- text classification
- classification algorithm
- learning tasks
- binary classification
- multi label learning
- max margin
- naive bayes
- protein function prediction
- hierarchical text categorization
- feature selection
- multi label image annotation
- semi supervised learning
- automatic text classification
- binary classifiers
- multi instance
- multi class
- decision trees
- training data
- multiple labels
- multiclass classification
- computer vision
- image processing
- support vector
- svm classifier
- data samples
- multi class classification
- small number
- model selection
- training samples